Amy R Greenwald

Amy R Greenwald is a Professor of Computer Science at Brown University. Her research spans artificial intelligence, algorithmic game theory, and computational economics, with a focus on multiagent reinforcement learning and market equilibrium computation.

Education

• PhD, New York University (1999)
• MS, Cornell University (1995)
• MS, Oxford University (1992)
• BS, University of Pennsylvania (1991)

Research Focus

Greenwald's work explores strategic interactions in computational systems, including:

• Game-theoretic modeling of multiagent systems
• Algorithmic approaches to market equilibrium
• Simulation-based equilibrium learning
• Stackelberg game formulations for hierarchical decision making
• Applications to supply chain negotiations and economic design

Her recent publications emphasize tractable equilibrium computation, social influence in economic models, and advanced reinforcement learning techniques for strategic settings.

Teaching

• CSCI 0100 - Data Fluency for All
• CSCI 0180 - Computer Science: An Integrated Introduction
• CSCI 1440 - Algorithmic Game Theory
• CSCI 2440 - Advanced Algorithmic Game Theory
• CSCI 2951Z - Advanced Algorithmic Game Theory